281 Episoder

  1. Unleashing the power of large language models

    Udgivet: 18.8.2022
  2. Building production-ready machine learning pipelines

    Udgivet: 11.8.2022
  3. Machine Learning at Gong

    Udgivet: 4.8.2022
  4. Data Infrastructure for Computer Vision

    Udgivet: 28.7.2022
  5. How DALL·E works

    Udgivet: 21.7.2022
  6. Scalable, end-to-end machine learning, for everyone

    Udgivet: 14.7.2022
  7. Orchestration and Pipelines for Data Scientists

    Udgivet: 7.7.2022
  8. Dataframes at scale

    Udgivet: 30.6.2022
  9. Software-Defined Assets

    Udgivet: 23.6.2022
  10. Adversarial Machine Learning

    Udgivet: 16.6.2022
  11. Orchestrating Machine Learning Applications

    Udgivet: 9.6.2022
  12. Narrative AI

    Udgivet: 2.6.2022
  13. Machine Learning Model Observability

    Udgivet: 26.5.2022
  14. Dataflow Automation

    Udgivet: 19.5.2022
  15. Practical Machine Learning and Deep learning

    Udgivet: 12.5.2022
  16. Machine Learning for Optimization

    Udgivet: 5.5.2022
  17. Efficient Scaling of Language Models

    Udgivet: 28.4.2022
  18. Data Science at Stitch Fix

    Udgivet: 21.4.2022
  19. The 2022 AI Index

    Udgivet: 14.4.2022
  20. Why You Need A Time-Series Database

    Udgivet: 7.4.2022

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A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].

Visit the podcast's native language site